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In previous work, a novel, time/frequency detection model was developed based on psychoacoustic masking experiments
 

Summary: Abstract
In previous work, a novel, time/frequency detection model
was developed based on psychoacoustic masking experiments
and used to predict the noise masking of speech-like bursts and
formant transitions [5]. In this paper, the same model is used to
predict the discrimination of voiced synthetic plosive
consonants in a variety of noisy environments. Discrimination
experiments were conducted using synthetic /bV/, /dV/, and
/gV/ syllables and two different additive noise maskers (speech-
shaped and perceptually-flat). Experiments were conducted
across three vowel contexts (/a/, /i/, and /u/) using CV syllables
both with and without a noise burst.
Results show that discrimination thresholds are largely
dependent on the noise masker, vowel context, and plosive
consonant. For all experimental conditions, the addition of the
burst has little effect on thresholds, suggesting that the
perception of plosive consonants in noise is dominated by the
formant transition cue.
The previously derived, time/frequency detection model was
then used to predict the perceptual data. The model is successful

  

Source: Alwan, Abeer - Electrical Engineering Department, University of California at Los Angeles

 

Collections: Computer Technologies and Information Sciences